IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i4p906-d496406.html
   My bibliography  Save this article

Particulate Modeling of Sand Production Using Coupled DEM-LBM

Author

Listed:
  • Siavash Honari

    (Department of Civil Engineering, Engineering Faculty, Ferdowsi University of Mashhad, Mashhad 9177943330, Razvi Khorasan Province, Iran
    Siavash Honari graduated in Civil Engineering in 2011 and received his M.Sc. in Geotechnical Engineering in 2013 from Ferdowsi University of Mashhad, Iran. He is currently a Ph.D. candidate in Geotechnical Engineering at Ferdowsi University of Mashhad. His research interests include particulate modeling of granular materials and cemented soils using the Discrete Element Method and implementation of the CFD-DEM method to model fluid-solid interactions in porous media, soil erosion, and sand production problems.)

  • Ehsan Seyedi Hosseininia

    (Department of Civil Engineering, Engineering Faculty, Ferdowsi University of Mashhad, Mashhad 9177943330, Razvi Khorasan Province, Iran)

Abstract

Sand production is a complex phenomenon caused by the erosion of borehole walls during the extraction of hydrocarbons. In this paper, the sanding process in a typical Thick-Walled Hollow Cylinder (TWHC) test is numerically simulated. The main objective of the study is to model the particulate mechanism of sand production in granular assemblies with different bonding conditions and examine the effects of parameters such as stress level and cavity size on the sanding model. Due to the discrete nature of sand particles, the Discrete Element Method (DEM) is chosen to model solid particles, and the Lattice-Boltzmann Method (LBM) is implemented to simulate fluid flow through the solid particulate medium. A computer program is developed using the Immersed Moving Boundary (IMB) approach to couple the two methods and model fluid–solid interactions. After the program is validated, the simulations were conducted on 2D models representing cross-sections of TWHC samples under radial fluid flow. The results show that the developed program is able to capture complicated stages of sand production already observed in experiments. The program also proves to be a promising tool in the parametric study of sand production. It successfully simulates different aspects of the sanding phenomenon, including the scale effect, the extension of failure zones in samples under incremental stress, and the stress relaxation during rapid particle erosion.

Suggested Citation

  • Siavash Honari & Ehsan Seyedi Hosseininia, 2021. "Particulate Modeling of Sand Production Using Coupled DEM-LBM," Energies, MDPI, vol. 14(4), pages 1-32, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:906-:d:496406
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/4/906/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/4/906/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Geoffroy Chaussonnet & Luis Bravo & Alison Flatau & Rainer Koch & Hans-Jörg Bauer, 2020. "Smoothed Particle Hydrodynamics Simulation of High Velocity Impact Dynamics of Molten Sand Particles," Energies, MDPI, vol. 13(19), pages 1-22, October.
    2. Eitan Cohen & Assaf Klar & Koji Yamamoto, 2019. "Micromechanical Investigation of Stress Relaxation in Gas Hydrate-Bearing Sediments Due to Sand Production," Energies, MDPI, vol. 12(11), pages 1-16, June.
    3. D. R. Noble & J. R. Torczynski, 1998. "A Lattice-Boltzmann Method for Partially Saturated Computational Cells," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 9(08), pages 1189-1201.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wenqing Liang & Zhiyong Shu & Fuming Lu & Yong Wang & Xiaohong Zheng & Hua Qian, 2022. "Study on Interparticle Interaction Force Model to Correct Saturation Density of Real Cryogenic Fluid for LBM Simulation," Sustainability, MDPI, vol. 14(12), pages 1-12, June.
    2. Rui Song & Ping Zhang & Xiaomin Tian & Famu Huang & Zhiwen Li & Jianjun Liu, 2022. "Study on Critical Drawdown Pressure of Sanding for Wellbore of Underground Gas Storage in a Depleted Gas Reservoir," Energies, MDPI, vol. 15(16), pages 1-18, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Derek G. Spear & Anthony N. Palazotto & Ryan A. Kemnitz, 2021. "Modeling and Simulation Techniques Used in High Strain Rate Projectile Impact," Mathematics, MDPI, vol. 9(3), pages 1-29, January.
    2. Tao, Shi & He, Qing & Yang, Xiaoping & Luo, Jiahong & Zhao, Xingxi, 2022. "Numerical study on the drag and flow characteristics of porous particles at intermediate Reynolds numbers," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 202(C), pages 273-294.
    3. Xiaohui Li & Guodong Liu & Junnan Zhao & Xiaolong Yin & Huilin Lu, 2022. "IBM-LBM-DEM Study of Two-Particle Sedimentation: Drafting-Kissing-Tumbling and Effects of Particle Reynolds Number and Initial Positions of Particles," Energies, MDPI, vol. 15(9), pages 1-20, April.
    4. Tian Xia & Qihong Feng & Sen Wang & Jiyuan Zhang & Wei Zhang & Xianmin Zhang, 2022. "Numerical Study and Force Chain Network Analysis of Sand Production Process Using Coupled LBM-DEM," Energies, MDPI, vol. 15(5), pages 1-20, February.
    5. Li, Xiao-Yan & Hu, Heng-Qi & Wang, Yi & Li, Xiao-Sen, 2022. "Experimental study of gas-liquid-sand production behaviors during gas hydrates dissociation with sand control screen," Energy, Elsevier, vol. 254(PB).
    6. Guokun Yang & Tianle Liu & Hai Zhu & Zihan Zhang & Yingtao Feng & Ekaterina Leusheva & Valentin Morenov, 2022. "Heat Control Effect of Phase Change Microcapsules upon Cement Slurry Applied to Hydrate-Bearing Sediment," Energies, MDPI, vol. 15(12), pages 1-21, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:906-:d:496406. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.